Biometric Authentication First International Workshop BIOMET 2014 Sofia Bulgaria June 23 24 2014 Revised Selected Papers 1st Edition by Virginio Cantoni, Dimo Dimov, Massimo Tistarelli ISBN 3319133861 9783319133867

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ISBN 10: 3319133861 
ISBN 13: 9783319133867
Author: Virginio Cantoni, Dimo Dimov, Massimo Tistarelli

This book constitutes the proceedings of the First International Workshop on Biometric Authentication, BIOMET 2014, which was held in Sofia, Bulgaria, in June 2014. The 16 full papers presented in this volume were carefully reviewed and selected from 21 submissions. Additionally, this volume also contains 5 invited papers. The papers cover a range of topics in the field gait and behaviour analysis; iris analysis; speech recognition; 3D ear recognition; face and facial attributes analysis; handwriting and signature recognition; and multimodal and soft biometrics.

Biometric Authentication First International Workshop BIOMET 2014 Sofia Bulgaria June 23 24 2014 Revised Selected Papers 1st Table of contents:

1 Introduction
2 Bertillonage
3 Data Acquisition
3.1 Traits
3.2 Terms
4 Semantic Annotation
5 Dataset Statistics
6 Dataset Distributions
6.1 Internal Correlations
7 Conclusions and Future Work
References
Human Classification Using Gait Features
1 Introduction and Related Work
2 Proposed Method
2.1 Physical Features
2.2 Behavioral Features
3 Classification
4 Experimental Results
4.1 Discussion
5 Conclusions and Future Work
References
Using Mutual Information for Multi-Anchor Tracking of Human Beings
1 Introduction
2 Mutual Information
3 MIMA System
3.1 Image Preprocessing
3.2 Anchor Selection and Tracking
3.3 Outlier Discarding and Error Correction
3.4 Anchors Overlapping and Algorithm for Conflict Solution
4 Experiments and Results
5 Conclusions
References
A Framework for Fast Low-Power Multi-sensor 3D Scene Capture and Reconstruction
1 Introduction
2 System w Overview
2.1 ToF Denoising
2.2 Resampling and Data Fusion
2.3 Depth-Assisted Segmentation
2.4 Face Normalization by Iterative Closest Point Methods
3 Performance Validation on Biometric Pre-processing Tasks
3.1 2D/ToF Fusion of Face Images
3.2 Face Normalization
4 Conclusion
References
Iris Analysis
Iris Detection Through Watershed Segmentation
1 Introduction
2 Segmentation
3 Iris and Pupil Detection
3.1 Pupil Detection
3.2 Iris Detection
4 Conclusion
References
Fast Iris Recognition on Smartphone by Means of Spatial Histograms
1 Introduction
2 Description of the Proposed Method
2.1 Iris Segmentation
2.2 Iris Matching by Means of Spatial Histograms
3 Experiments
4 Conclusions and Future Works
References
A Contourlet Transform Based for Features Fusion in Retina and Iris Multimodal Biometric System
1 Introduction
2 Related Works
3 Proposed Multimodal Biometric System
4 Retina Preprocessing
4.1 Retina Anatomy
4.2 Rotation Compensation Using Radial Tchebichef Moments
5 Iris Preprocessing
5.1 Reflection Removal from Iris Image
5.2 Circular Boundaries and Parameters Estimation
5.3 Eyelid Detection
5.4 Eyelash Segmentation
5.5 ROI Normalization and Enhancement
6 Contourlet Transform
7 Feature Extraction
8 Fusion Feature Vector Construction via Combination of the Retina and Iris Vector
9 Hamming Distance Based Matching
10 Experimental Results
11 Conclusion and Future Work
References
Speech Recognition
From Speaker Recognition to Forensic Speaker Recognition
1 Introduction
1.1 Biometrics and Forensics
1.2 Forensic Speaker Recognition
1.3 Forensic Automatic Speaker Recognition (FASR)
2 Biometric Evidence in Forensic Automatic Speaker Recognition
3 Bayesian Interpretation of Biometric Evidence
3.1 Bayesian Interpretation Framework
3.2 Strength of Speech Evidence
3.3 Deterministic and Statistical Modelling of Speech
4 Evaluation of the Strength of Evidence
5 Conclusions
References
Noisy Speech Endpoint Detection Using Robust Feature
1 Introduction
2 Endpoint Detection Parameters
2.1 Mean-Delta Feature
2.2 Group Delay Mean Delta Feature
2.3 Modified Frame Teager Energy Feature
2.4 Energy Entropy Feature
3 Detection Algorithm
4 Experiments and Discussion
4.1 Endpoint Accuracy
4.2 Speaker Verification Performance
5 Conclusions
References
3D Ear Recognition
Appearance-Based 3D Object Approach to Human Ears Recognition
1 Introduction
2 3D Ear Biometrics Approaches
3 Our Approach Description
3.1 The Used IDB Structure
3.2 Our CBIR Method in Brief
3.3 General Phases of the Method Proposed
4 Experiments
4.1 Nature of the Experiment
4.2 Discussion of Results
5 Conclusion
References
3D Ear Analysis by an EGI Representation
1 Introduction
2 Ear Biometrics Approaches
3 Extended Gaussian Image
20 Faces 80 Faces 320 Faces 1280 Faces
3.1 Describing the Process of Creation an Icosahedron and Its 2D Mapping
3.2 Evaluation of Similarity Between EGI Histograms
4 Experimental Analysis
5 Conclusion
References
Face and Facial Attributes Analysis
Biometrics in Forensic Science: Challenges, Lessons and New Technologies
1 Introduction
2 Biometric Challenges in Forensics
2.1 Biometric Evidence for Forensic Evaluation and Investigation
2.2 Audiovisual Biometrics for Forensics Examination
2.3 Soft Biometrics for Forensics Examination
2.4 Forensic Behavioral Biometrics
2.5 Biometric Analysis of Crime Scene Traces and Their Forensic Interpretation
2.6 Combination of Multimodal Biometrics with Other Forensic Evidence
2.7 Ethical and Societal Implications of Emerging Forensic Biometrics
3 3D to 2D Face Recognition
4 Pattern Matching Algorithm
5 Conclusion
References
Facial Expression Classification Using Supervised Descent Method Combined with PCA and SVM
1 Introduction
2 Brief Survey on Existing Automatic Facial Feature Extraction Algorithms
3 Supervised Descent Method for Facial Feature Extraction
4 Proposed Method
4.1 Face Detection
4.2 Facial Features Extraction
4.3 Dimension Reduction with Principal Component Analysis
4.4 Multi-class Support Vector Machine Expression Classification
5 Experimental Results
6 Conclusion and Comments
References
Human Gaze Tracking with an Active Multi-camera System
1 Introduction
2 System Overview
3 System Geometrical Model and Calibration
3.1 Modeling Pan-Tilt Unit
3.2 Estimating the Transformation {G} {K}
4 Facial Features Extraction and Tracking
5 Pupil Detection and Tracking
6 Gaze Direction Estimation
7 Experimental Results
References
Handwriting and Signature Recognition
Effect of Handwriting Changes on the Possibilities for Computerized Handwriting Examination
Introduction
Why Identification May Be Impeded in Case of Comparing only Quantitative Handwriting Parameters?
Effect of the Handwri iting Changes on Its Quantitative and Qualitative Features
Conclusion
References
Neural Network and kNN Classifiers for On-line Signature Verification
1 Introduction
2 Methodology
3 Experimental Results
4 Conclusion
References
Multimodal and Soft Biometrics
People Identification and Tracking Through Fusion of Facial and Gait Features
1 Introduction
2 Automatic Face Recognition
2.1 Face Recognition Algorithms
2.2 Open Issues in Face Recognition
3 Automatic Gait Recognition
3.1 Gait Feature Templates
3.2 Gait Feature Extraction and Classification
3.3 Open Issues in Gait Recognition
4 Fusing Gait and Face
5 Summary and Further Research Directions
References
Pupil Size as a Biometric Trait
1 Introduction
2 Related Works
3 Data Acquisition
3.1 Participants and Experiments
3.2 Apparatus
3.3 Procedure
3.4 Data Pre-Processing
3.5 Features
3.6 Classifiers
4 Results
4.1 Feature Selection
4.2 Identification
4.3 Verification
5 Conclusions
References
Analysing Soft Clothing Biometrics for Retrieval
1 Introduction
2 Semantic Clothing Attributes
3 Data n Acquisition
4 Soft Clothing Biometrics
4.1 Categorical Clothing Traits (Cat-N)
4.2 Comparative Clothing Traits (Cmp)
5 Data Analysis
5.1 Analysis of Variance (ANOVA)
5.2 Correlations and Significance
6 Retrieval Using Soft Clothing Traits
6.1 Retrieval Using Clothing and Traditional Soft Biometrics
6.2 Retrieval Using Clothing and Soft Body Biometrics
7 Conclusions and Future Work
References
On the Application of Biometric Techniques for Locating Damaged Artworks
1 Introduction
2 Literature Review
3 Case Study
3.1 Byzantine Icons
3.2 Byzantine Icon Restoration
3.3 Identifying Damaged Stolen Icons
4 Experimental Evaluation
4.1 Experimental Set Up
4.2 Image Features
4.3 Experimental Results
5 Conclusions
References
Multifractal Analysis of Posturograms of Young and Elderly Persons
1 Introduction
2 Methods
2.1 Posturographic Experiment
2.2 Mathematical Methods
3 Results
4 Conclusion

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